@kapa.ai is there a common reason why this happens Check exceeded the timeout.

Based on the information provided in the knowledge sources, this error message likely indicates a timeout issue in Airbyte. While the exact wording "Check exceeded the timeout" is not present in the given documents, several sources mention similar timeout-related errors. Here's what we can infer: 1. This error suggests that a particular operation or check in Airbyte took longer than the allowed time limit (timeout). 2. Timeout errors can occur in various parts of the Airbyte system, including: - API calls: As seen in the [API timeout issue](https://github.com/airbytehq/airbyte/issues/29506), where a "Read Timeout" error occurred. - Destination operations: The [destination documentation](https://docs.airbyte.com/understanding-airbyte/heartbeats#destination) mentions a timeout mechanism for destination calls. - Source operations: For example, the [Salesforce source connector](https://discuss.airbyte.io/t/2775) showed a "QUERY_TIMEOUT" error for large object transfers. 3. The error could be due to various reasons, such as: - Large data volumes being processed - Network latency - Resource constraints - Configuration issues To resolve this, you might need to: 1. Check your Airbyte configuration, especially any timeout-related settings. 2. Review the size of data being transferred and consider breaking it into smaller chunks if possible. 3. Ensure your network connection is stable and fast enough for the data transfer. 4. If using a specific connector (like Salesforce), check if there are any known issues or configuration options related to timeouts. For more specific advice, you would need to provide more context about where exactly this error is occurring in your Airbyte setup.

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Based on the knowledge sources provided, there are indeed common reasons why timeout errors like "Check exceeded the timeout" can occur in Airbyte. Let's explore some of these reasons: 1. Large data volumes: According to the [Airbyte documentation on heartbeats](https://docs.airbyte.com/understanding-airbyte/heartbeats#known-heartbeat-error-causes), database sources can be slow to respond to a query due to the size of the database or the complexity of the query. This is especially true when dealing with large amounts of data. 2. Rate limiting: For API sources, rate limits can cause timeouts. The documentation states that "Certain API sources can be rate-limited for a time period longer than their configured threshold" [Airbyte Heartbeats documentation](https://docs.airbyte.com/understanding-airbyte/heartbeats#known-heartbeat-error-causes). 3. Slow database responses: The most common reason mentioned for database sources is "using an un-indexed column as a cursor column in an incremental sync, or a dramatically under-provisioned database" [Airbyte Heartbeats documentation](https://docs.airbyte.com/understanding-airbyte/heartbeats#known-heartbeat-error-causes). 4. Resource constraints: If the destination is slow to respond to write requests, it can cause timeouts. This is often due to "destination resource availability vis-a-vis data volumes" [Airbyte Heartbeats documentation](https://docs.airbyte.com/understanding-airbyte/heartbeats#known-heartbeat-error-causes). 5. Configuration issues: In some cases, the timeout value might be hardcoded or not properly configured. For instance, there was an issue with the Postgres connector where the timeout value was hardcoded and couldn't be overridden easily [Airbyte Forum discussion](https://discuss.airbyte.io/t/1715). 6. Network issues: Although not explicitly mentioned in the provided sources, network latency or instability can often contribute to timeout errors. It's worth noting that the specific cause can vary depending on the type of source or destination you're using, as well as your particular setup and data characteristics. If you're experiencing persistent timeout issues, you might need to investigate your specific configuration and data patterns to identify the root cause.

@kapa.ai 1. Check your Airbyte configuration, especially any timeout-related settings. how

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To check your Airbyte configuration for timeout-related settings, you can follow these steps: 1. For general Airbyte server configuration: You can adjust the timeout settings in the

server

section of your Airbyte configuration. According to the [Airbyte documentation on scaling](https://docs.airbyte.com/enterprise-setup/scaling-airbyte#schema-discovery-timeouts), you can increase the timeout limit as follows:

yaml    server:        extraEnvs:          - name: HTTP_IDLE_TIMEOUT            value: 20m          - name: READ_TIMEOUT            value: 30m

This configuration increases the HTTP idle timeout to 20 minutes and the read timeout to 30 minutes. 2. For destination-specific timeouts: Check the

flags.yaml

file for destination timeout settings. As mentioned in the [Airbyte heartbeats documentation](https://docs.airbyte.com/understanding-airbyte/heartbeats#destination), you can configure: - `destination-timeout-max-seconds`: This sets the maximum duration for a call to the destination before it's considered timed out. The default is 24 hours. - `destination-timeout.failSync`: If set to true (default), a detected destination timeout will cause the sync to fail. 3. For Nginx proxy timeouts (if you're using Nginx): Look for the

BASIC_AUTH_PROXY_TIMEOUT

environment variable. According to a [GitHub issue comment](https://github.com/airbytehq/airbyte/discussions/40738), you can set this in your environment configuration:

global:      env_vars:        HTTP_IDLE_TIMEOUT: 1800s

And for the webapp ingress:

webapp:      ingress:        annotations:          <http://kubernetes.io/ingress.class|kubernetes.io/ingress.class>: internal          <http://nginx.ingress.kubernetes.io/proxy-body-size|nginx.ingress.kubernetes.io/proxy-body-size>: 16m          <http://nginx.ingress.kubernetes.io/proxy-send-timeout|nginx.ingress.kubernetes.io/proxy-send-timeout>: 1800          <http://nginx.ingress.kubernetes.io/proxy-read-timeout|nginx.ingress.kubernetes.io/proxy-read-timeout>: 1800

4. For specific connectors: Some connectors might have their own timeout settings. For example, in a [discussion about the Postgres connector](https://discuss.airbyte.io/t/1715), it was mentioned that the timeout value was hardcoded. In such cases, you might need to check the specific connector's documentation or configuration options. Remember, the exact location and method of changing these settings may vary depending on your Airbyte deployment method (Docker, Kubernetes, etc.) and version. Always refer to the official Airbyte documentation for the most up-to-date information on configuring your specific setup.

@kapa.ai how do i get a new bing ads refresh token

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To get a new Bing Ads refresh token for use with Airbyte, you need to follow these steps: 1. First, ensure you have a Microsoft Advertising account and a Microsoft Developer Token. These are prerequisites for using the Bing Ads connector [Bing Ads Source Documentation](https://docs.airbyte.com/integrations/sources/bing-ads#prerequisites). 2. Register your application in the Azure portal. This will give you a Client ID and Client Secret [Bing Ads Source Documentation](https://docs.airbyte.com/integrations/sources/bing-ads#setup-guide). 3. Request user consent to get the authorization code [Bing Ads Source Documentation](https://docs.airbyte.com/integrations/sources/bing-ads#setup-guide). 4. Use the authorization code to get a new refresh token. The full authentication process is described in the Microsoft Advertising documentation [Bing Ads Source Documentation](https://docs.airbyte.com/integrations/sources/bing-ads#setup-guide). 5. Important note: The refresh token expires after 90 days. You'll need to repeat this authorization process to get a new refresh token when it expires [Bing Ads Source Documentation](https://docs.airbyte.com/integrations/sources/bing-ads#setup-guide). 6. Make sure to authenticate with the email (personal or work) that you used to sign in to the Bing Ads/Microsoft Ads platform [Bing Ads Source Documentation](https://docs.airbyte.com/integrations/sources/bing-ads#setup-guide). If you encounter any issues during this process, it's worth noting that there have been some complications reported by users. For instance, one user found that using the wrong flow to generate the refresh token caused problems. They initially used the BingAds Java desktop quickstart, but this was treated as a "Public client" which can't send a client secret. They resolved the issue by changing to the webservice auth flow [Airbyte Forum Discussion](https://discuss.airbyte.io/t/3067). Remember, the exact steps might vary slightly depending on your specific setup and the current version of the Bing Ads API. Always refer to the most recent Microsoft Advertising documentation for the most up-to-date instructions.

@kapa.ai i see this No pod found running for workload

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Based on the information provided in the knowledge sources, the error message "No pod found running for workload" appears to be related to Kubernetes deployment issues with Airbyte. This error suggests that a Kubernetes pod expected to be running for a specific Airbyte workload is not present or not in a running state. Let's explore some possible reasons and solutions: 1. Pod creation issues: The error could indicate that the pod is not being created correctly. As seen in a [GitHub issue](https://github.com/airbytehq/airbyte/issues/32461), there were instances where no pod appeared in the Kubernetes namespace when trying to create a source. 2. RBAC (Role-Based Access Control) problems: Insufficient permissions could prevent pod creation. Make sure your Kubernetes cluster has the correct RBAC settings. The ServiceAccount, Role, and RoleBindings should be properly configured with necessary permissions to create and manage pods [GitHub Issue](https://github.com/airbytehq/airbyte/issues/32461). 3. Resource constraints: If your Kubernetes cluster doesn't have enough resources (CPU, memory) to schedule new pods, this error might occur. 4. Network issues: Problems with network policies or DNS resolution within the cluster could prevent pods from starting properly. 5. Configuration errors: Misconfiguration in your Airbyte deployment files (like Helm charts) could lead to this issue. To troubleshoot this issue: 1. Check your Kubernetes cluster's events and logs for any error messages related to pod creation. 2. Verify that your RBAC settings are correct and that the Airbyte service account has necessary permissions. 3. Ensure your Kubernetes cluster has sufficient resources to run Airbyte workloads. 4. Review your Airbyte configuration, especially if you're using Helm charts for deployment. 5. If you're using a custom connector, make sure it's properly configured and compatible with your Airbyte version. If the issue persists, you may need to provide more specific information about your Airbyte deployment setup, Kubernetes version, and the full error message or logs to get more targeted assistance.